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Author:

Chen, Jia (Chen, Jia.) | Wang, Ning (Wang, Ning.) | Lin, Tongzhi (Lin, Tongzhi.) | Liu, Baoliu (Liu, Baoliu.) | Hu, Jin (Hu, Jin.)

Indexed by:

SSCI

Abstract:

Artificial intelligence (AI) plays a significant role in realizing sustainable economic development. This paper uses the textual content of annual reports of listed companies to count 73 words frequencies related to AI and construct AI indicators through precise vocabulary. It also examines how AI affects environment, social, and governance (ESG) performance at the firm level using unbalanced panel data of Chinese listed firms from 2007 to 2022. The results indicate that the development of artificial intelligence has significantly improved the ESG performance of Chinese listed companies, and the conclusion still holds after a series of robustness tests. As a moderating variable, macroeconomic policy uncertainty reinforces the positive impact of AI on ESG performance. In terms of the impact mechanism, AI enhances firms' ESG performance by increasing firms' total factor productivity and R&D expenditures. The results of heterogeneity analysis show that AI has a significant positive impact on the ESG performance of non-state-owned firms, firms with executives without overseas backgrounds, and technology and capital-intensive firms. Compared with the western region, AI in the eastern and central regions has a more significant improvement effect on ESG performance. Our study deepens the knowledge and understanding of the role played by AI in the green development process at the micro level. It provides valuable suggestions and reflections for promoting AI development at the micro-enterprise level.

Keyword:

Artificial intelligence ESG performance R & D expenditure Total factor productivity Economic policy uncertainty

Author Community:

  • [ 1 ] [Chen, Jia]Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100020, Peoples R China
  • [ 2 ] [Wang, Ning]Shandong Technol & Business Univ, Sch Management Sci & Engn, Yantai 264003, Peoples R China
  • [ 3 ] [Lin, Tongzhi]Guilin Univ Technol, Sch Math & Stat, Guilin 541004, Guangxi, Peoples R China
  • [ 4 ] [Liu, Baoliu]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 5 ] [Liu, Baoliu]Beijing Univ Technol, Inst Ecocivilizat Studies, Beijing 100124, Peoples R China
  • [ 6 ] [Hu, Jin]Guizhou Univ Finance & Econ, Sch Big Data Applicat & Econ, Guiyang 550025, Guizhou, Peoples R China

Reprint Author's Address:

  • [Wang, Ning]Shandong Technol & Business Univ, Sch Management Sci & Engn, Yantai 264003, Peoples R China;;

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Source :

ECONOMIC ANALYSIS AND POLICY

ISSN: 0313-5926

Year: 2024

Volume: 83

Page: 1080-1096

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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